A buyer messages asking why a seller has not shipped an order placed six days ago, at the same time a seller messages asking why their payout has not landed, and a third thread is a dispute where the buyer says an item never arrived and the seller insists it was handed to the courier on schedule.
Book a Discovery CallNone of that is a single-brand customer service problem, it is a referee problem between two parties who never chose each other and both expect your platform to be fair. We build an AI support agent for online marketplaces that answers buyer questions on orders and refunds, answers seller questions on payouts, listings, and policy, gathers evidence on both sides of a dispute before anyone rules on it, and flags counterfeit, account-takeover, and review-manipulation signals to your trust and safety team instead of acting on them alone.
It runs across your buyer-facing and seller-facing channels under one record per case, and it holds the same standard whether the order in question is worth ten dollars or ten thousand.
A single-brand store answers to one catalog and one support queue. A marketplace answers to two queues that grow independently of each other: buyers asking about orders that dozens of different sellers fulfilled their own way, and sellers asking about payouts, listing rejections, and policy thresholds that only your platform can explain.
Adding a seller does not just add inventory, it adds a second person who can generate a support ticket, a policy question, or a dispute, and that volume compounds every time your marketplace onboards a new category or a new seller cohort. Support teams built for a one-sided store get buried fast, because the same headcount now has to cover order-status questions from buyers, payout and fee questions from sellers, and the disputes that sit between the two and cannot be closed by looking at only one side’s story.
An AI support agent reads both queues at once, pulls the order and shipment record a buyer is asking about, pulls the payout and listing record a seller is asking about, and opens a documented case the moment a dispute starts instead of letting two unanswered tickets from opposite sides of the same order sit in different inboxes for a week.
A marketplace carries a kind of exposure a single-brand store does not, because it did not make the product, pack the box, or choose the courier, yet both the buyer and the seller expect the platform to decide who is right when something goes wrong. Leave an item-not-received dispute unanswered for a week and the buyer stops waiting on your support team and disputes the charge with their card issuer instead, which costs the sale, hands the seller a black mark they may not deserve, and puts a chargeback fee on your platform’s own processor relationship.
Leave a seller’s payout question unanswered and the seller starts posting in a seller forum that your marketplace does not pay on time, which costs you the next seller referral more than it costs you that one ticket. Trust and safety carries the sharpest version of the same risk: a counterfeit listing, a review-manipulation ring, or an account-takeover pattern that sits in a queue for a few days instead of getting flagged the day it appears can generate hundreds of bad orders before anyone with authority to suspend the account ever sees it.
A support desk sized for buyer questions alone, with no separate lane for seller questions and no fast path for disputes and trust and safety flags, is how a marketplace’s fairness reputation erodes one unanswered case at a time.
A production support system built for a two-sided platform, from buyer-seller dispute triage through seller-facing payout and policy questions,
Order status across sellers who fulfill their own way, and the trust and safety escalation lines that keep account decisions with your team.
The agent opens a documented case the moment an item-not-received, item-not-as-described, or damaged-item dispute starts, requests photos, tracking, and message history from both the buyer and the seller,
Checks the evidence against your written refund and buyer-protection policy, and either closes routine disputes on the spot or hands your team a ready-to-decide case instead of two unrelated tickets.
It answers buyer questions on order status, refunds, and account issues, and separately answers seller questions on payouts, listing status, and policy,
Routing each side to the right queue automatically so a seller’s fee question never sits behind a buyer’s return request or the other way around.
Because each seller fulfills their own way, the agent pulls the specific seller’s shipment and tracking data for the order in question rather than assuming one warehouse and one carrier for the whole platform,
So a buyer asking where an order is gets an answer sourced to the actual seller who shipped it.
The agent flags patterns that look like counterfeit listings, account takeover, review manipulation, or a seller running multiple accounts,
And routes the evidence to your trust and safety team for a decision, rather than suspending or reinstating an account on its own judgment.
It answers the seller-side questions that clog a support inbox on their own, when a payout lands, why a listing was rejected, what a category rule requires,
And what a policy strike means for a storefront, pulled from your actual payout schedule and policy documents instead of a generic help article.
It surfaces late-shipment rate, cancellation rate, and return rate by seller as those patterns show up in support conversations,
And flags sellers crossing a policy threshold you set so a warning or a compliance review happens on schedule instead of after a buyer complaint forces it.
When a dispute opens as a single documented case with both sides’ evidence attached instead of two separate tickets in two separate queues, it gets resolved in days instead of aging into a chargeback nobody saw coming. Seller questions about payouts and listings stop competing with buyer questions about orders and refunds for the same reply slot, because the agent routes each to the right lane the moment it comes in.
Trust and safety stops depending on a buyer complaint to surface a problem, because counterfeit, account-takeover, and review-manipulation patterns get flagged as they appear instead of after a review disaster. Your platform team gets a support operation that treats buyers and sellers as two different customers with two different sets of questions, applies the same dispute standard to a ten-dollar order and a ten-thousand-dollar one, and finally has clean numbers on dispute resolution time, seller ticket volume by category, and how many trust and safety flags turned into an actual account action.
A single-brand store has one customer base and one support queue. A marketplace has two: buyers asking where an order is or why a refund has not landed, and sellers asking why a payout is late, why a listing got rejected, or what a policy warning actually means for their storefront. Most support setups built for a single-brand store never separate these properly, so a seller’s payout question competes for the same reply slot as a buyer’s return request, and whichever side complains louder gets answered first.
The agent treats buyer support and seller support as genuinely different jobs running in parallel. Buyer questions get answered from order, shipment, and refund records. Seller questions get answered from payout schedules, listing status, and your published policy documents. Each side is routed to the right context automatically, so a seller never gets a buyer-facing answer and a buyer never has to explain that they are not the one selling the item.
An item-not-received or item-not-as-described dispute on a marketplace is a disagreement between two parties who each have their own version of events, and your platform cannot simply take either one at their word. The agent opens a single case the moment a dispute starts, rather than letting the buyer’s ticket and the seller’s response live as two unconnected threads, and requests the specific evidence each side needs to provide: tracking and delivery confirmation from the seller, photos and a description of the actual item received from the buyer, and message history between the two if there is any.
Once both sides have answered, the agent checks the evidence against your written refund and buyer-protection policy and either resolves the routine cases automatically, a tracking number that clearly shows non-delivery, a photo that clearly matches an item-not-as-described claim, or escalates the genuinely ambiguous ones to your team with both sides’ evidence already attached and organized. Your team spends its time on the disputes that actually need a judgment call, not on chasing down a seller’s shipping confirmation from scratch.
Counterfeit listings, account takeover, and review manipulation share a common problem: by the time a pattern is obvious enough for a person to notice it in a routine review pass, it has usually already generated a run of bad orders or fake reviews. The agent is built to catch the earlier signals inside ordinary support conversations, a buyer describing an item that clearly does not match a name-brand listing, a seller account suddenly changing its payout details and shipping address at once, a burst of near-identical five-star reviews landing within hours of each other, and to flag those signals the moment they appear rather than waiting for a scheduled audit.
What it does not do is decide. Every flag goes to your trust and safety team with the supporting evidence and the pattern that triggered it, and the decision to suspend a storefront, remove a listing, or reinstate an account stays with the people who own that judgment call. We build the escalation criteria with your team during setup, so the agent is watching for the specific patterns your marketplace has actually seen, not a generic fraud checklist.
Answering where an order is on a single-brand store means checking one fulfillment system. On a marketplace, every order was shipped by whichever seller sold it, from whichever warehouse and courier that seller uses, which means a where-is-my-order question cannot be answered from one central tracking feed. The agent pulls the specific seller’s shipment record for the order in question, so a buyer gets a real answer sourced to the actual seller and courier involved, not a platform-wide status that does not reflect how that particular order actually moved.
When a seller’s tracking has stalled or a package is marked delivered but the buyer says it never arrived, the agent treats that as the start of a potential dispute rather than a simple status update, and routes it into the same evidence-gathering flow used for other disputes. That keeps a shipping delay from quietly turning into an unresolved argument that neither the buyer nor the seller ever gets a clear answer on.
A marketplace’s operational stack looks different from a single-brand store’s, and the agent is built to connect to it directly rather than working around it. That includes marketplace platforms such as Mirakl, Sharetribe, Arcadier, or a custom-built seller admin panel, payment-split infrastructure like Stripe Connect that handles how a payout gets divided between your platform and a seller, and a helpdesk such as Zendesk, Freshdesk, or Re:amaze for the buyer and seller ticket history.
It reads seller onboarding status, listing records, order and shipment data, and payout schedules, and writes case notes, dispute resolutions, and escalation flags back into those same systems, so a trust and safety analyst or a seller operations lead is looking at the same record the agent worked from, not a parallel system nobody fully trusts. Where your marketplace already has a compliance or legal review step for account actions, the agent’s escalation feeds directly into it instead of creating a separate approval path.
Engineered With AI is run by engineers who build production support systems for platforms with two sides to answer to, not a chatbot demo built against a single brand’s FAQ page. We understand that a marketplace’s support load splits into two queues that grow independently of order volume, plus a third category of dispute and trust and safety work that requires evidence from parties who each have their own version of events.
“The hard part of a marketplace support agent is never answering a question, it’s knowing which side of a dispute to ask for evidence first and refusing to rule until both sides have actually answered,” says Sam Ortiz, Director of Engineering, Engineered With AI. We build the agent to sit on top of your marketplace admin, payment split, and helpdesk stack, and to keep the account-suspension and legal-escalation calls with your team where they belong.
The agent is designed around the fact that a marketplace has buyers and sellers asking fundamentally different questions at the same time, and it routes, answers, and escalates each side on its own terms instead of forcing seller and buyer tickets through one undifferentiated support flow.
It flags counterfeit patterns, account takeover signs, and review manipulation with the evidence attached, and it is deliberately built to stop there. Suspension, reinstatement, and any judgment call outside your written policy stay with your trust and safety team.
It connects to marketplace platforms such as Mirakl, Sharetribe, or a custom-built admin panel, payment-split tools like Stripe Connect, your helpdesk such as Zendesk, Freshdesk, or Re:amaze, reading seller, order, and dispute records and writing case notes and resolutions back so your systems stay the source of truth.
We build and test the agent against what happens when a new seller cohort or category goes live, since a marketplace’s support load grows with every new storefront onboarded, not only with order volume, so growth in sellers does not quietly outpace your support capacity.
Our marketing operations are automated end to end. We brief the outcome and the workflow handles the rest.
They built the automation around how we actually work rather than making us change to fit a tool.
They automated the process work that was quietly eating our week. It runs now without anyone thinking about it, which is the only real test.
Book a discovery call and we will map how buyer questions, seller questions, and disputes move through your marketplace today, where the referee problem is costing you chargebacks or seller trust, and the AI support agent we would build to handle the routine two-sided volume while your team keeps the account and policy decisions.
Book a Discovery Call